Lu, N.-H., Wang, C.-Y., Liu, K.-Y., Huang, Y.-H., & Chen, T.-B. (2025). AI-enhanced deep learning framework for pulmonary embolism detection in CT angiography. Bioengineering, 12(10), 1055.

Liu, K.-Y., Lu, N.-H., Huang, Y.-H., Matsushima, A., Kimura, K., Okamoto, T., & Chen, T.-B. (2025). Majority voting ensemble of deep CNNs for robust MRI-based brain tumor classification. Diagnostics, 15(14), 1782.

Wang, Y.-M., Wang, C.-Y., Liu, K.-Y., Huang, Y.-H., Chen, T.-B., Chiu, K.-N., Liang, C.-Y., & Lu, N.-H. (2024). CNN-based cross-modality fusion for enhanced breast cancer detection using mammography and ultrasound. Tomography, 10(12), 145.

Yang, S.-Y., Hsu, S.-Y., Su, Y.-K., Lu, N.-H., Liu, K.-Y., Chen, T.-B., Chiu, K.-N., Huang, Y.-H., & Yeh, L.-R. (2024). Using key predictors in an SVM model for differentiating spinal fractures and herniated intervertebral discs in preoperative anesthesia evaluation. Diagnostics, 14(21), 2456.

Wang, J.-Z., Lu, N.-H., Du, W.-C., Liu, K.-Y., Hsu, S.-Y., Wang, C.-Y., Chen, Y.-J., Chang, L.-C., Twan, W.-H., Chen, T.-B., & Huang, Y.-H. (2023). Classification of color fundus photographs using fusion extracted features and customized CNN models. Healthcare, 11(15), 2228.

Ojo, O. E., & Olanrewaju, O. (2024). A review of renewable energy powered seawater desalination treatment process for zero waste. Water, 16(19), 2804.

Ojo, O. E., & Inambao, F. (2024). Additives and blends of biodiesel. Journal of Propulsion Technology, 45(1), 5032–5050.

Ojo, O. E., & Inambao, F. L. (2024). GT-Power for internal combustion engine simulation: A review. Journal of Aeronautical Materials, 44(2), 38–61.

Ojo, O. E., & Inambao, F. (2024). Real-world applications of waste swine oil (pork lard waste) biodiesel: A review. Journal of Aeronautical Materials, 44(2), 38–61.

Ojo, O. E., Ige, O. E., & Inambao, F. L. (2023). A review of seawater membrane desalination. Corrosion and Protection, 51(2), 476–491.

Tina Sefati is a Ph.D. candidate in Artificial Intelligence at the University of Tabriz and serves as an AI engineer and CEO at SaamDigital Eurasia, leading AI-driven projects across more than ten countries. Her research focuses on deep learning, supervised and unsupervised learning, time series anomaly detection, and generative models, with extensive expertise in CNNs, LSTMs, GANs, Transformers, and GNNs. She holds an MSc in Artificial Intelligence from the University of Tabriz, where she worked on improving spam filtering using game theory, as well as an M.Sc. in MBA and a BSc in Computer Engineering (Software) from Seraj University, with a thesis on solving the Traveling Salesman Problem using Ant Colony Optimization. Tina has over a decade of experience designing, developing, and managing AI-based systems for large organizations such as HepsiBurada and AndME in Turkey, delivering solutions in product recommendation, stock forecasting, credit scoring, intelligent smile design, license plate recognition, and face recognition systems. She has authored 33 publications, which have received 560 citations across 446 documents, reflecting an h-index of 12, demonstrating the impact of her research contributions. Her technical skills span deep learning, machine learning, NLP, image processing, time series analysis, Python, Flask, SQL, Git, and API development. Tina has also contributed to education as a programming and web design instructor and has successfully led AI projects that integrate statistical methods, NLP, and cloud-based architectures for big data analytics. Recognized for her innovation, leadership, and hands-on expertise in AI applications, she continues to advance research and practical AI solutions, bridging academic insights with industry impact.

Dr. Rahul Goyal is a distinguished Professor in the Department of Mechanical Engineering at Manipal University Jaipur, with over 22 years of teaching and research experience. He earned his Ph.D. in Mechanical Engineering from Malaviya National Institute of Technology (MNIT), Jaipur, in 2015, focusing his research on the development of a CI engine-operated micro trigeneration system for power, heating, and space cooling. He also holds an M.Tech in Thermal Engineering from the University College of Engineering, Kota (2010), and a B.E. in Mechanical Engineering from the University of Rajasthan (2003). Throughout his academic journey, Dr. Goyal has held several key administrative and academic positions, including Head of the Department at Manipal University Jaipur, Vivekananda Global University, and Vivekananda Institute of Technology (East), and has served as a member of the Executive Circles for NAAC and NIRF at Manipal University. His research interests encompass thermal engineering, renewable and sustainable energy systems, emission control, and advanced thermal materials. Dr. Goyal has authored 51 research publications, which have received 933 citations across 853 documents, reflecting an h-index of 16, highlighting the significance and quality of his scholarly contributions. He has successfully supervised multiple Ph.D. scholars on topics such as solar air heaters, water-diesel emulsified fuels with nanoparticles, thermal energy storage systems, and emission optimization in automobiles. Renowned for his academic leadership, technical expertise, and commitment to innovation, Dr. Rahul Goyal continues to make impactful contributions to mechanical and thermal engineering education and research in India.

Singh, P., Sharma, R. K., Ansu, A. K., Goyal, R., Sarı, A., & Tyagi, V. V. (2021). A comprehensive review on development of eutectic organic phase change materials and their composites for low and medium range thermal energy storage applications. Solar Energy Materials and Solar Cells, 223, 110955.

Khatri, R., Goyal, R., & Sharma, R. K. (2021). Advances in the developments of solar cooker for sustainable development: A comprehensive review. Renewable and Sustainable Energy Reviews, 145, 111166.

Singh, P., Sharma, R. K., Khalid, M., Goyal, R., Sarı, A., & Tyagi, V. V. (2022). Evaluation of carbon based-supporting materials for developing form-stable organic phase change materials for thermal energy storage: A review. Solar Energy Materials and Solar Cells, 246, 111896.

Sonar, D., Soni, S. L., Sharma, D., Srivastava, A., & Goyal, R. (2015). Performance and emission characteristics of a diesel engine with varying injection pressure and fuelled with raw mahua oil (preheated and blends) and mahua oil methyl ester. Clean Technologies and Environmental Policy, 17(6), 1499–1511.

Khatri, D., & Goyal, R. (2020). Effects of silicon dioxide nanoparticles on the performance and emission features at different injection timings using water diesel emulsified fuel. Energy Conversion and Management, 205, 112379.